Metadata Driven Integrated INFORMATION SYSTEM of CSB of LATVIA Version 2008. Central Statistical Bureau of Latvia April 5 – 9, 2008 / Luxembourg Presentation.

Slides:

Advertisements

Similar presentations

Case Studies Slovenia Julija Kutin METIS Workshop on the Statistical Business Process and Case.

Advertisements

Copyright © BIT Impulse. All rights preserved. Business Analysis Tool A Powerful Business Intelligence System

Producing and managing metadata Workshop on Writing Metadata for Development Indicators Lusaka, Zambia 30 July – 1 August 2012 Writing Metadata for Development.

Setting up a National Warehouse of Official Statistics in India P C Mohanan Deputy Director general National Statistical Organisation Ministry of Statistics.

Statistical Databases: A short review Slide: 1 Demonstration of the Prototype model for ECA Statistical Database Statistical Database Application March.

U NITED N ATIONS R EGIONAL S EMINAR ON C ENSUS D ATA D ISSEMINATION AND S PATIAL A NALYSIS S EPTEMBER 2010, N AIROBI, K ENYA R OBERTO B IANCHINI,

WP.5 - DDI-SDMX Integration E.S.S. cross-cutting project on Information Models and Standards Marco Pellegrino, Denis Grofils Eurostat METIS Work Session6-8.

1 Meeting on the Management of Statistical Information Systems (MSIS 2010) (Daejeon, Republic of Korea, April 2010) NIS ICT Strategy in the Production.

What is IIS? IIS (Internet Information Server) is a group of Internet servers (including a Web or Hypertext Transfer Protocol server and a File Transfer.

Changing the culture: Ethiopia’s commitment to dissemination and the multi-media approach By Yakob Mudesir Seid

Case Studies: Statistics Canada (WP 11) Alice Born Statistics UNECE Workshop on Statistical Metadata.

Metadata management and statistical business process at Statistics Estonia Work Session on Statistical Metadata (Geneva, Switzerland 8-10 May 2013) Kaja.

M ETADATA OF NATIONAL STATISTICAL OFFICES B ELARUS, R USSIA AND K AZAKHSTAN Miroslava Brchanova, Moscow, October, 2014.

4 April 2007METIS Work Session1 Metadata Standards and Their Support of Data Management Needs Daniel W. Gillman Bureau of Labor Statistics Paul Johanis.

Restricted Daejeon, April An SDMX based unified data catalogue (UDC) MSIS – Meeting on the Management of Statistical Information Systems 1.

Development of metadata in the National Statistical Institute of Spain Work Session on Statistical Metadata Genève, 6-8 May-2013 Ana Isabel Sánchez-Luengo.

PO101: Case Studies: Successes with the Microsoft Office Enterprise Project Management Solution Melinda Curtis Product Manager, Microsoft Office Project.

Statistisches Bundesamt eSTATISTIK.core: AN XML-BASED APPROACH TO DATA COLLECTION FROM ERP SYSTEMS Joint ECE/Eurostat/OECD Meeting on the Management of.

Ms. Irene Onyancha ISTD/Library & Information Management Services United Nations Economic Commission for Africa The Second Session of the Committee on.

Metadata Architecture at StatCan MSIS 2008 Luxembourg, April 7-9, 2008 Karen Doherty Director General Informatics Branch Statistics Canada.

Home page: INSTITUTO NACIONAL DE ESTATÍSTICA AN INFORMATION ARCHITECTURE MODEL FOR THE NATIONAL STATISTICAL SYSTEM OF MOZAMBIQUE Tomás Bernardo.

Lisbone, March ALBANIAN METADATA AlbMeta Prepared by INSTAT Working Group.

Metadata driven application for data processing – from local toward global solution Rudi Seljak Statistical Office of the Republic of Slovenia.

Electronic data collection system eSTAT in Statistics Estonia: functionality, authentication and further developments issues 4th June 2007 Maia Ennok,

Francesco Rizzo (ISTAT - Italy) SDMX ISTAT FRAMEWORK GENEVE May 2007 OECD SDMX Expert Group.

Francesco Rizzo (ISTAT - Italy) Stefano De Francisci (ISTAT – Italy) An integration approach for the Statistical Information System of Istat using SDMX.

National Statistical Committee of the Republic of Belarus Specific features of the organization of interaction with respondents during the transition to.

Electronic data collection System in CSB of Latvia By Karlis Zeila, Vice President, CSB of Latvia UN ECE Work Session on Statistical Data Editing, 16 –

Electronic data collection System in CSB of Latvia By Karlis Zeila, Vice President, CSB of Latvia IT DG meeting, October , Eurostat.

1 Meeting on the Management of Statistical Information Systems (MSIS 2010) SDMX architecture for data sharing and interoperability Francesco Rizzo, ISTAT,

Pilot Census in Poland Some Quality Aspects Geneva, 7-9 July 2010 Janusz Dygaszewicz Central Statistical Office POLAND.

Metadata management in National Statistical Institutes and researcher access: an example Zoltán Vereczkei Hungarian Central Statistical Office Methodology.

Eurostat SDMX and Global Standardisation Marco Pellegrino Eurostat, Statistical Office of the European Union Bangkok,

Unified information system of statistical data collection, processing, storage and dissemination (Rosstat UIS ) Overview FEDERAL STATE STATISTICS SERVICE.

1 Towards a common statistical enterprise architecture Ongoing process reengineering at Statistics Sweden Service Oriented Architecture – SOA Sharing of.

Recent development in the metadata area at Statistics Sweden Klas Blomqvist

PC-AXIS EXPERIENCE Prepared by: Chief Specialists of Dissemination of Statistical information Division Giedrė Jerinovičiūtė Ana Gricevič.

STRATEGY FOR DEVELOPMENT OF ISIS AND IT STRATEGY IN THE NSI-BULGARIA Main principles, components, requirements.

RECENT DEVELOPMENT OF SORS METADATA REPOSITORIES FOR FASTER AND MORE TRANSPARENT PRODUCTION PROCESS Work Session on Statistical Metadata 9-11 February.

WEB-SUPPORTED STATISTICAL DISSEMINATION PROCESS SERVING STATISTICAL DATA USERS Matjaž Jug, M.Sc.

CSO ITSIP Project - implementation of new Data Management System (DMS) ITDG meeting, Luxembourg, October 2006 Presentation by Joe Treacy CSO, Ireland.

1 Case Study Integrated Metadata Driven Statistical Data Management System (IMD SDMS) CSB of Latvia METIS 2010.

Best practice case Finland / Estonia 22th. of September 2011 Maia Ennok.

The business process models and quality issues at the Hungarian Central Statistical Office (HCSO) Mr. Csaba Ábry, HCSO, Methodological Department Geneva,

Central Bureau of Statistics of Croatia MSIS 2009, Oslo, Norway, May 2009 CBS ISIS: Architecture for Survey Processing.

From Intrastat to SIMSTAT and ESS.VIP Programme ESTAT Walter Radermacher.

Estonian experience in implementation and maintenance of statistical database using PX-Web Eda Fros Statistics Estonia UNECE Workshop on Developing Data.

The Role of service Granularity in Successful CSPA Realization Zvone Klun, Tomaž Špeh Geneve, 22 June 2016.

MANAGEMENT OF STATISTICAL PRODUCTION PROCESS METADATA IN ISIS

Prepared by: Galya STATEVA, Chief expert

THE BNSI EXPERIENCE IN METADATA COLLECTION AND ORGANIZATION

The status of metadata standards and ModernStats models in SURS

CENTRAL STATISTICS OFFICE IRELAND ITSIP PROJECT OVERVIEW

Training course on Euro SDMX Registry

S-DWH layered architecture – Statiscs Finland

I n f o r m a t i o n Moving e-Quest/Web:

Generic Statistical Business Process Model (GSBPM)

YTY − an integrated production system for business statistics

Tomaž Špeh, Rudi Seljak Statistical Office of the Republic of Slovenia

ESSnet on SDMX phase II June 7-8, Luxembourg.

Integrated Statistical Information System (ISIS) in Croatia By Maja Ledić Blažević, Senior Advisor, Research & Development Dept. and Branka Cimermanović,

Evaluation & Experiences ‘YTY-System’ Statistics Finland

Vygandas Norkus Deputy Director General October 2009, IT DG

Data validation in Statistical Office of the Republic of Serbia

CountryData Using SDMX to exchange MDG data between national statistical offices and international agencies.

Prepared by Peter Boško, Luxembourg June 2012

Integrated Statistical Systems

European Census Hub: a cooperation model for dissemination of EU statistics Paper prepared by Ioannis Xirouchakis Presentation: Christine WIRTZ, Eurostat.

Work Session on Statistical Metadata (Geneva, Switzerland May 2013)

Presentation of Project Joint meeting of the ESS.VIP.BUS ICT Project

Presentation transcript:

Metadata Driven Integrated INFORMATION SYSTEM of CSB of LATVIA Version Central Statistical Bureau of Latvia April 5 – 9, 2008 / Luxembourg Presentation on UN ECE/Eurostat/OECD work session on MSIS

2 Successful implementation formed bases for the CSB regional restructuring ( 5 Data C entres(115) instead of 26 Regional Offices (180), completed in 2004 System implemented in August year2002 Surveys described in Metadata base from Surveys in active use in Surveys available for electronic submission57 Classifications for usage in metadata base129 Rate of electronically submitted data: oMaximal for supplied surveys up to46% oAveragein ,1% KEY INFORMATION of MD ISDMS usage

3 ISDMS architecture - Versions 1, 2 & 3 Integrated statistical data management system Corporative data Warehouse CSB Web Site Macrodata base Metadata base Microdata base Registers base OLAP data base User administration data base Dissemi- nation data base Windows 2000 Server Advanced MS Internet Information Server SQL server 2000, PC-Axis ISDMS Business application Software Modules Core metadata base module related with DB: Registers module related with DB: Data entry and validation module related with DB: Data aggregation module related with DB: Data analysis module related with DB: FIREALL METADATA USER ADMINISTRATION REGISTERS USER ADMINISTRATION METADATA MICRODATA REGISTERS USER ADMINISTRATION METADATA MICRODATA REGISTERS USER ADMINISTRATION OLAP METADATA MACRODATA Raw data base Data dissemination module related with DB: Data WEB entry module related with DB: Data mass entry module related with DB: Missed data imputation module related with DB: METADATA MACRODATA REGISTERS USER ADMINISTRATION METADATA MICRODATA REGISTERS USER ADMINISTRATION METADATA MICRODATA REGISTERS RAW DATABASE USER ADMINISTRATION METADATA MICRODATA REGISTERS DATA IMPUTATION SOFTWARE User administration module related with DB: METADATA MICRODATA MACRODATA USER ADMINISTRATION www SERVER FIREALL ERER ERER

4 Statistics Structuring in CSB based on the Process Oriented data processing

5 REENGINEERING - MAIN GOALS Move from Microsoft SQL Server 2000 to version 2005 System adaptation towards Social statistics data processing, analysis and dissemination,thus moving from MD ISDMS to MDIIS Introduce transition of the data elder than three years from ISDMS micro and macro data bases to active archive storage Improve e-Survey subsystem by introducing usage of different Internet browsing Software packages. Implementation of SDMX standard requirements within data dissemination processes.

6 PROCESSES Covered by MD ISDMS + in Business & Social Statistics Domains

7 MD IIS as CSB Cooporative Data Warehouse

8

9 Thank you for attention ! Karlis Zeila =